Move editor generation pricing to backend: remove priceMudPoints from public request schemas and docs, require backend to compute model prices and perform pre-charge via execute_billable_asset_operation_with_cost. Update character animation and video handlers to use authenticated owner IDs and wrap generation requests in billing; remove client-side price validation. Adjust OpenAPI, project-memory docs, pricing management docs, and related tests to reflect that front-end only displays prices and must not submit priceMudPoints. Also document new user registration reward and wallet refund outbox behavior. Code and test changes applied across api-server handlers, shared contracts, and image-editor client/tests.
Unify and lower default mud-point prices across editor generation features and update related API/schema, docs and tests. Changes set gpt-image-2 to 1K=3 / 2K=5, audio1.0 to 5, and chirp-v5 to 12, and update server default JSON, frontend models/workflows, OpenAPI schema (require aspectRatio/imageSize/priceMudPoints for UI extraction), multiple UX docs (quick-edit viewport, UI extraction panel, pricing guidance) and accompanying tests to match the new defaults and validation rules.
Require an explicit red-box selection before extracting UI-design assets: add rectangular/ellipse/brush selection UI, render red-outline marks into a marked Data URL on the client, and update the extraction prompt to "仅提取被红色框框选的素材并整理成spritesheet". Add frontend overlay/raster models and tests to support the selection flow and adjust numerous image-editor tests and views to wire up the selection lifecycle. On the dev ops side, enhance scripts/dev to detect a local %LOCALAPPDATA%/Genarrative/ffmpeg/bin installation on Windows, prepend it to PATH and inject CHARACTER_ANIMATION_FFMPEG_PATH/FFPROBE_PATH (with tests), and export the helper. Server config now prefers GENARRATIVE_*-prefixed FFmpeg env vars and includes a Rust test to validate reading the prefixed variables. Update docs to describe the new UI extraction behavior and local FFmpeg handling.
Handle character-action generation results as real video assets: use backend previewVideoPath as layer src, set mediaType="video" and assetKind="character-animation", and store the first frame only as thumbnail/poster. Update docs to document the new behavior and preserve backend frame extraction/green-screen workflows. Update UI/UX: compact parameter labels (e.g. "16:9·1K"), quick-edit treats original image as an implicit last reference (hidden from the reference bar) and allows editable bottom capsules, and ensure exports preserve true media file types. Change upload toolbar icon to Upload and add tests to cover the icon and video-layer behavior; also add serialization/hydration test for video thumbnails and adjust many integration/unit tests to reflect new labels, sizes and generation semantics. Files touched include multiple docs under docs/, edited components and tests under src/components/image-editor/, and minor stylesheet updates.
Introduce a new UI design asset extraction flow: add POST /api/editor/ui-designs/assets/extractions handler that always uses gpt-image-2 with the fixed prompt "提取画面中的所有独立并整理成spritesheet"; parse Data URL references, call OpenAI image edits, return a spritesheet and sliced icon assets. Increase request body limit for image Data URLs and wire the route with bearer auth. Add platform-image slicing: slice_generated_icon_spritesheet_all_by_connected_components (with auto-naming "素材 1..N", foreground estimation and heuristics) and export it. Add Rust tests for the handler, prompt constant, and slicing behavior. Update frontend client and integration tests to call the new extractEditorUiDesignAssets API and verify spritesheet + icon layers are added to the canvas and persisted. Update multiple docs to describe the extraction UI, toolbar placement, and related audio/playback pitfalls. Minor related updates: toolbar button ordering and audio duration / signed read-url notes.
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